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English(EN) Impressive new paper from Google DeepMind.

Google DeepMind 的 Co-Scientist 弥合了人工智能研究与现实世界实验之间的差距

作者 PulseAugur 编辑部 · [1 个来源] ·

Google DeepMind 发表了一篇新论文，详细介绍了 Co-Scientist，这是一个弥合模拟研究与现实世界实验之间差距的人工智能系统。该系统在多个科学领域展示了先进的能力，包括在医学基准测试中超越六个前沿模型，并设计了新颖的材料合成路线。Co-Scientist 还准确预测了生物现象并生成了同行评审的论文，其可靠性模块减少了幻觉和抄袭的发生。 AI

影响 使人工智能能够进行现实世界的科学实验，加速跨多个学科的发现。

排序理由 该集群描述了一篇关于人工智能系统在科学实验能力方面的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 X — Omar Sanseviero (HF research) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Google DeepMind 的 Co-Scientist 弥合了人工智能研究与现实世界实验之间的差距

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该集群描述了一篇关于人工智能系统在科学实验能力方面的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 ·

    Google DeepMind 发布了令人印象深刻的新论文。

    Impressive new paper from Google DeepMind. (bookmark it) It takes Co-Scientist out of simulation and into real-world experiments. A summary of the results: In computer science, it found an inference-time scaling architecture that beat six frontier models on HealthBench Hard h…

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